MCP Server
One MCP server for every system you run.
Built without code. Governed in one place. Bazinga gives Claude, ChatGPT, Copilot Studio, and your own agents one server to connect to, with your databases, applications, and workflows behind it.
Definition
An MCP server is how AI assistants and agents find tools and use them. Bazinga is one for your whole organization: every system behind it, every tool built without code, every call within a role and on the record.
Problem
One MCP server per system doesn’t scale.
The usual way to give AI a system is a server for that system. It works for one. Across everything a business runs, it leaves gaps, raw access, and a dozen places to secure.
Most systems have none.
The finance database, the case system, the app built in-house: no MCP server, so AI can’t reach them.
The ones that exist are raw.
Many mirror the system’s API: low-level calls, and more access than most tasks need.
Each one is another island.
Its own sign-in, its own permissions, its own log, or none at all, multiplied by every system you run.
Ten systems, ten MCP servers?Or one, governed in one place.
What it does
Five things one server does for every system.
Building an MCP server for one system is easy now. One that does real work across all of them, safely, has to do all five.
Connect
It reaches the systems you run, through their database, API, files, or a ready-made connector, MCP server or not.
Shape
It turns systems into business tools, like “onboard a new customer,” not raw API calls, built without code.
Delegate
Every call is tied to the person who asked, or an agent account you chose, and stays within that role.
Record
Every call is recorded: who asked, from which AI, what ran, and the result.
Orchestrate
One tool can drive a workflow across several systems, with your business rules inside.
Compare
Three ways to give AI your systems.
Each has its place. The question is how many systems you need to reach, and who builds the tools.
| Approach | What you get | What it takes |
|---|---|---|
| A custom MCP server per system | Tools shaped exactly for one system. | Developers to build, secure, host, and maintain each server, one system at a time. |
| An MCP gateway | One front door, with sign-in and policies, for the MCP servers you already have. | The servers to exist first. The tools behind them stay as their vendors built them. |
| Bazinga | One MCP server for every system, with the tools, workflows, identity, and audit in one place. | Connecting each system once, and building its tools visually, without code. |
Typical approaches; individual products vary.
Agentware
More than a server: a new layer, with a name.
Every new consumer of software needed a layer in between: applications got middleware, developers got APIs. AI is the newest consumer of your systems, and the most capable one. We call its layer agentware: business tools for AI, within the role of whoever asks, on the record. Bazinga delivers it as one MCP server.
1990s
Applications talking to each other
Middleware
2010s
Developers and mobile apps
APIs and API management
Now
AI assistants and agents
Agentware
Questions
MCP servers, briefly.
What is an MCP server?
A server that AI assistants and agents connect to through the Model Context Protocol (MCP), the open standard for giving AI tools. The server lists the tools it offers, and the AI calls them to look things up or get work done.
Is Bazinga an MCP gateway?
Bazinga brings gateway controls to every tool it serves: approved assistants, personal sign-in or agent keys, limits, and a record of every call. Its main job goes further: building the tools themselves, over systems that have no MCP server or only a raw one.
Do we need to write code?
No. You connect systems and build tools and workflows visually. Where a step needs custom logic, developers can add C#, JavaScript, or PowerShell, and the tool AI sees stays the same.
Do we have to replace any systems?
No. Bazinga connects to the systems you run today where they are, including legacy systems and plain databases, without changing them.
Which AI does it work with?
AI assistants and agents that connect to remote MCP servers: Claude, ChatGPT, Microsoft Copilot Studio, Cursor, and agents you build yourself. You can change assistants without rebuilding anything.
Isn’t this just giving AI access to our data?
It’s access, but narrow and accountable. Instead of a shared key or a broad integration, AI gets specific tools, each within the role of the person or agent asking, each recorded.
What is agentware?
The name for the layer between AI and an organization’s systems: it turns them into tools AI can use, keeps each within the role of whoever asks, and records it. Bazinga is agentware, delivered as one MCP server.
Where does it run?
On a server of your own in our cloud, or, on Enterprise, in your own cloud account or data center, beside the systems it connects.
Bring one system.Leave with its MCP server.
Pick a system AI can’t reach today. We’ll show you its tools, built without code, working in your assistant.